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Record W2598788949 · doi:10.1093/schbul/sbx022.004

M5. Beta Amyloid Level is not Elevated in Elderly Patients With Schizophrenia: Are There Potential Neuroprotective Effects of Antipsychotics on Beta-Amyloid Pathology?

2017· article· en· W2598788949 on OpenAlexaff
Jun Ku Chung, Shinichiro Nakajima, Eric Plitman, Fernando Caravaggio, Philip Gerretsen, Yusuke Iwata, Danielle Uy, M. Mallar Chakravarty, Ariel Graff‐Guerrero

Bibliographic record

VenueSchizophrenia Bulletin · 2017
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsMcGill UniversityCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsSchizophrenia (object-oriented programming)AntipsychoticMedicineMeta-analysisNeuroprotectionInternal medicineBETA (programming language)Animal studiesAmyloid betaPsychiatryOncologyPsychologyDisease

Abstract

fetched live from OpenAlex

Background: Current literature suggests that the pathology of schizophrenia (SCZ) has developmental origins based on mounting evidence showing genetic abnormalities and prenatal factors contributing to the early onset of the illness. Nonetheless, there are progressive neurodegenerative processes in this illness that cannot be solely explicated by the neurodevelopmental theory of SCZ. In addition, numerous animal studies showed that antipsychotics elicit neuroprotective effects by lowering beta-amyloid (Aβ) levels. Methods: Focusing on beta-amyloid (Aβ) as a measure of neurodegenerative changes, a systemic review and meta-analysis investigating Aβ in SCZ and the link between antipsychotic usage and Aβ was conducted. A literature search using PsychINFO, Medline and Embase was carried out, examining studies that compared Aβ between patients with SCZ and comparison groups. Results: Among 14 identified studies, there were 11 studies comparing Aβ between SCZ and elderly controls, and 7 studies comparing Aβ between SCZ and AD. Meta-analysis showed that Aβ levels did not differ in patients with SCZ from controls. Patients with SCZ showed attenuated level of Aβ in comparison to patients with AD. Subsequently, only 1 of 5 studies in the sub-analysis showed a correlation between the duration of antipsychotic usage and decreased level of Aβ, while the other 4 studies highlighted no link between the duration of antipsychotic usage and Aβ. Conclusion: In conclusion, Aβ level is not increased in SCZ in comparison to controls and AD. Unlike the animal literature, the relationship between antipsychotic exposure and Aβ in SCZ remains elusive. Limitations include small sample sizes, different techniques to quantify Aβ and investigation of different cortical regions. Future studies should examine other neurodegenerative markers in SCZ, including oxidative stress and apoptosis dysregulation to better elucidate the pathophysiological mechanisms underlying this illness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.265
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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